What is Computing-Electricity Coordination?
In the context of the "dual carbon" goal and the boom of AI large models, computing-electricity coordination has become a popular concept in the power and digital industries. It is not a simple combination of AI computing centers, new energy and energy storage, but an in-depth integration mode of computing networks and power systems, aiming to form a two-way empowerment cycle of "strengthening computing with electricity and promoting electricity with computing".
Core Characteristics of Computing-Electricity Coordination
First, it achieves dynamic supply-demand matching. Breaking the fixed power consumption mode of data centers, it adjusts computing power load according to power generation: increasing computing power scheduling when new energy output is sufficient, and flexibly reducing load when power is tight, thus improving the utilization rate of green power.
Second, it relies on energy storage support. As an intermediate hub, energy storage stabilizes the fluctuation of wind and solar power generation, ensuring the uninterrupted and stable operation of AI computing power and avoiding losses caused by power outages.
Industrial Value and Development Trend
For the computing power industry, computing-electricity coordination reduces costs through low-cost green power, ensures stable supply with energy storage and power grid, and achieves low-carbon development of computing power. For the power industry, it improves the consumption of green power, enhances the flexibility of the power grid, reduces the peak-valley difference, and reduces wind and solar curtailment.
From a national perspective, it promotes the integration of the digital economy and energy transformation, helps achieve the "dual carbon" goal, and ensures the competitiveness of the AI industry. In short, it is an integrated "energy-computing power" solution in the AI era, making electricity greener, computing power cheaper and the power grid more stable.